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Data Science

Information School,
Faculty of Social Sciences

More and more organisations want Data Scientists. This CILIP-accredited course prepares students for a career in analysing and interpreting large data sets in order to influence business decisions and strategy.

Course description

This CILIP-accredited course produces highly employable graduates for a rapidly expanding global job market. It was developed in collaboration with external organisations across a range of sectors to make sure you gain knowledge and learn skills that employers are looking for.

You’ll learn the theory and the skills you need to support data-driven decision-making in organisations. The course covers three core areas: data management, data analysis and business insight. You’ll get hands-on experience with data management and analysis. Industry experts contribute to the course, sharing their experience and talking you through examples of data science in action.

Our graduates are not just technically proficient. They’re also keenly aware of broader issues such as data communication, privacy and ethics. That extra edge makes them even more attractive to employers.

Due to high demand our MSc Data Science starting in September 2019 is now closed to new applications.

This course is accredited by CILIP

Modules

Core modules

Data and Society

Introduction to Data Science

Data Mining and Visualisation

Data Analysis

Database Design

Research Methods and Dissertation Preparation

Dissertation

Optional modules

Choose from a range of optional modules including:

Information Systems in Organisations

Business Intelligence

Information Governance and Ethics

Researching Social Media

Information Retrieval: Search Engines and Digital Libraries

Digital Advocacy

Big Data Analytics

Teaching

You can expect a mix of lectures, seminars, tutorials, practical laboratory classes, group work, online discussion, case studies and lectures by visiting speakers.

Assessment

You'll be assessed using a wide variety of methods including essays, reports, small projects, in-class tests, presentations, posters, group work and a research-based dissertation.

Duration

1 year full-time

2 years part-time

3 years part-time

Entry requirements

You’ll need at least a 2:1 in any subject.

English language requirements

Overall IELTS grade of 6.5 with a minimum of 6.0 in each component, or equivalent.